Senior Python Developer - Quant Models AI Automation, Vice President

AI Enablement

Collaboration & Standards

Required Qualifications

• STEM degree (Computer Science, Engineering, Mathematics, Statistics, Physics, or related); Master's degree preferred .
• Professional software development experience, with deep expertise in Python and its data/engineering ecosystem (e.g., pandas, NumPy, FastAPI, orchestration tools).
• Proven track record of delivering production-grade automation, data pipelines, or testing frameworks in a complex enterprise environment; financial services experience strongly preferred.
• Solid AI/ML knowledge , including practical experience with machine learning libraries and/or LLM-based application development (e.g., API integration, prompt engineering, RAG-style document workflows).
• Strong experience with test automation , CI/CD, and modern software engineering practices (Git, code review, containerization).
• Experience working with large datasets , data quality/linearity checks, and SQL; familiarity with enterprise data platforms.
• Ability to work effectively in a cross-functional, global team and communicate technical concepts to non-technical stakeholders.

Preferred Qualifications

• Exposure to quantitative risk models (market risk and/or credit risk) and the model lifecycle: development, validation, documentation, and ongoing monitoring.
• Familiarity with the model risk regulatory landscape and governance expectations in banking.
• Experience with workflow orchestration platforms, cloud environments (AWS/Google Cloud), and container orchestration (Docker/Kubernetes).
• Background in quantitative finance, statistics, or data science; an advanced quantitative degree is a plus.
• Experience mentoring engineers and leading small technical workstreams.
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